Skip to main content

A Federated Simulation Framework for Cross-Organisational Processes.

Arshad, R., de Vrieze, P. T. and Xu, L., 2021. A Federated Simulation Framework for Cross-Organisational Processes. In: PRO-VE 2021, Smart and Sustainable Collaborative Networks 4.0, 22-24 November 2021, Saint-Étienne, France. (In Press)

Full text available as:

[img]
Preview
PDF
A Federated Simultation Framework for cross-organisational processes.pdf - Accepted Version
Available under License Creative Commons Attribution Non-commercial.

483kB

Official URL: https://pro-ve-2021.sciencesconf.org/

DOI: 10.1007/978-3-030-85969-5_24

Abstract

Simulation is a significant tool to evaluate, monitor and enhance the processes and to predict the behaviour of a system in a particular scenario. Collaborative processes involving multiple organizations are becoming important in the changing landscape of the manufacturing industry towards industry 4.0. Simulating these processes require independent and distributed execution because of the privacy concerns of partner organizations and re-usability of existing simulators. In this paper, we propose a simulation framework based on federated approach for the simulation of collaborative processes. The federated approach enables the simulation of parts of processes from multiple organizations by combining independent simulators through a common interface. The common interface is responsible for the synchronization of all the simulators within the federation. The framework will be evaluated using industrial case study of textile manufacturing using Virtual Organizations.

Item Type:Conference or Workshop Item (Paper)
Additional Information:22nd IFIP WG 5.5 Working Conference on Virtual Enterprises
Uncontrolled Keywords:Industry 4.0; Simulation; Federated Simulation; Collaborative Processes
Group:Faculty of Science & Technology
ID Code:36196
Deposited By: Unnamed user with email symplectic@symplectic
Deposited On:06 Nov 2021 11:36
Last Modified:25 Nov 2021 01:08

Downloads

Downloads per month over past year

More statistics for this item...
Repository Staff Only -